Taman Desa Jelita
Desa Jelita, 11960 Bayan Lepas, Pulau Pinang, Malaysia
Desa Jelita, 11960 Bayan Lepas, Pulau Pinang, Malaysia
| LIST.MY · Taman Desa Jelita | |||||
|---|---|---|---|---|---|
|
Road
|
Price
|
PSF
|
Size
|
Date
|
Type
|
| 2024 | |||||
|
Level 5
|
RM160,000
|
RM320
|
500 sqft
|
|
LC Flat |
| 2023 | |||||
|
Level 1
|
RM170,000
|
RM340
|
500 sqft
|
|
Flat |
| 2021 | |||||
|
Level 2
|
RM135,000
|
RM270
|
500 sqft
|
|
Flat |
Selling in Taman Desa Jelita? Homes here sold for a median of RM160,000.
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Taman Desa Jelita
PSF median price per sq ft · 12m its change over the past 12 months
Most-traded areas in this mukim, by number of recorded subsale transactions. See every area in 12
Market Snapshot
ResidentialRM160,000
RM320 psfMedian transaction price
Desa Jelita, 11960 Bayan Lepas, Pulau Pinang, Malaysia
MapsTaman Desa Jelita in Barat Daya, Penang recorded 3 subsale transactions between 2021 and 2026, sized between 475 and 524 sqft, with a median price of RM160K and a median price per square foot (PSF) of RM320.
This area consists exclusively of residential properties, with no commercial listings recorded.
Price remained flat, and PSF growth was PSF remained flat. The median price is RM160K, with most transactions falling within a stable range of RM145K to RM170K, and a typical market range of RM135K to RM170K.
Most transactions involved flats, with moderate diversity in property types available.
For price per square foot, the median is RM320, with most transactions between RM291 and RM349. The usual range is RM280.64 to RM359.39, showing that most units are priced quite close to each other. With an IQR of RM78.75 and MAD of RM29, the PSF demonstrates reasonable consistency across the market.
While the area has shown positive growth trends, price variations suggest a more dynamic market. This presents opportunities for investors comfortable with moderate volatility. Significant price variations suggest comparing multiple properties and timing the market carefully. Limited transaction history suggests carefully evaluating comparable sales data.